trans_specific_risks: Calculate subject specific risks for subjects in newdata

In hputter/mstate: Data Preparation, Estimation and Prediction in Multi-State Models

Calculate subject specific risks for subjects in newdata

Description

Return a 2 dimensional array, with subjects in the first dimension and transition (numbers) in the second. Can expand later to include time-dependent covariates by introducing extra dimension. Entries of the matrix are exp(lp)_i^m, with i denoting the subject and m the transition.

Usage

trans_specific_risks(object, newdata, trans, n_subjects, subject_ids)

Arguments

object	A coxph object describing the fit of the multi-state model, must contain a 'strata()' term.
newdata	A data.frame containing K rows per subject in the data, with K the number of transitions possible in the model. The following named columns must be present: id: Unique identifier of the subject this row relates to, must be numeric or character; trans: Transition number in the 'transMat' trans this row relates to; "variables": The subject-specific covariates (appearing in the coxph formula), ordered according to transition number in trans. Note that newdata must contain a column containing the variable which was used to determine the stratum of a transition in object (usually this is 'trans').
trans	Transition matrix describing the states and transitions in the multi-state model. See trans in msprep for more detailed information

Author(s)

Daniel Gomon

hputter/mstate documentation built on July 17, 2025, 2:04 a.m.